Here is a PDF of network maps of the Spanish Blogosphere. Links were divided into a 1-5 scale. 5 indicating blogs that link to each other very often, while 1 indicates infrequent links between two blogs.
You will see the network grow in size and complexity as the definition of a link is loosened [going from 5 down to 1].
http://geneura.ugr.es/~jmerelo/atalaya/ES_Blogs2.p df
Thank you Roland for the write-up on InFlow on your weblog!
Unfortunately there are some errors... 1) I am not a former IBM'er... they were my first major client. 2) It did not take me 15 years to write the software... the first working version [w/o visuals] was written in 2 weekends in 1987... on a 512K Macintosh... using Prolog. Yes, now it is commercial, used mostly by management consultants, on Windows. I also use it with VPC6 on my Powerbook. 3) InFlow can process data from email traffic to find patterns and paths, but the paragraph you quote is about the OTHER product in the article -- MIT Media Lab's "Social Network Fragments" -- a very cool tool.
Looking at just your own email[in/out] will not tell you much [except that it is 40% spam]. You need to look at the email flows between project team members, co-workers, communities of interest, etc. At least 20 participants before interesting patterns emerge...
Most of our data is collected via on-line surveys -- people participate knowingly. Most survey participants are very eager to see the resulting maps -- they want to see where they, and their friends ended up.
Slashdot Mirror
Here are two actual link maps... one showing an I/T project team @ Fortune 500 and the other showing members of al Qaeda. Which is which?
http://orgnet.com/2nets.pdf
Here is a PDF of network maps of the Spanish Blogosphere. Links were divided into a 1-5 scale. 5 indicating blogs that link to each other very often, while 1 indicates infrequent links between two blogs. You will see the network grow in size and complexity as the definition of a link is loosened [going from 5 down to 1]. http://geneura.ugr.es/~jmerelo/atalaya/ES_Blogs2.p df
Thank you Roland for the write-up on InFlow on your weblog!
Unfortunately there are some errors...
1) I am not a former IBM'er... they were my first major client.
2) It did not take me 15 years to write the software... the first working version [w/o visuals] was written in 2 weekends in 1987... on a 512K Macintosh... using Prolog. Yes, now it is commercial, used mostly by management consultants, on Windows. I also use it with VPC6 on my Powerbook.
3) InFlow can process data from email traffic to find patterns and paths, but the paragraph you quote is about the OTHER product in the article -- MIT Media Lab's "Social Network Fragments" -- a very cool tool.
Looking at just your own email[in/out] will not tell you much [except that it is 40% spam]. You need to look at the email flows between project team members, co-workers, communities of interest, etc. At least 20 participants before interesting patterns emerge...
Most of our data is collected via on-line surveys -- people participate knowingly. Most survey participants are very eager to see the resulting maps -- they want to see where they, and their friends ended up.
Valdis
Your Arizona link does not exist...
Here is link @ ASU that maps a network of recent newstories.
Enjoy!3D molecules? Try Mage: http://kinemage.biochem.duke.edu/
Warning: these 3D diagrams lose their appeal when the network > 40 nodes. 2D still works the best for large networks.
A few real network maps...
And finally, a brief intro to Social Network Analysis: http://www.orgnet.com/sna.html
Enjoy!